---
title: "Jiahao Qiu · Princeton University — author profile and papers"
description: "Jiahao Qiu, Princeton University: 3 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jiahao-qiu/"
---
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# Jiahao Qiu

Jiahao Qiu has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/), [Andrea Zanette](https://md.research.elamur.ai/free/en/authors/andrea-zanette/), [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5119877396) · [**h-index 1**](https://openalex.org/authors/A5119877396) · [2 works](https://openalex.org/works?filter=author.id:A5119877396) · [1 citations](https://openalex.org/works?filter=author.id:A5119877396&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/#papers) · [🔗 Cited 98 times in our library](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/cited-by/) · [⭐ Paper Stars ranking: #8345](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8345)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jiahao+Qiu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiahao+Qiu) · [dblp](https://dblp.org/search?q=Jiahao+Qiu) · [ACL Anthology](https://aclanthology.org/search/?q=Jiahao+Qiu)

## Affiliations

[🎓**Princeton University** Princeton · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/princeton-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Fast Best-of-N Decoding via Speculative Rejection](https://md.research.elamur.ai/free/en/papers/sun-2024-fast-best-n-decoding-speculative/)** *(2024 · 50 citations)* Best-of-N aligns an LLM at inference time without retraining. It samples many candidate answers and keeps the one a reward model rates highest. It can rival post-training methods such as RLHF or DPO, but competitive N values run into the thousands, which would need many accelerators. The authors observe that reward…
2. **[A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)** *(2025 · 36 citations)* Today's LLMs are essentially frozen once trained. They cannot update their own parameters or behavior when they meet unfamiliar tasks, shifting knowledge, or changing interaction settings, and this becomes a serious limitation when agents work in open, interactive environments. This survey does not introduce new data…
3. **[Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)** *(2025 · 16 citations)* Large Reasoning Models such as OpenAI o1, DeepSeek R1 and QwQ solve hard math and coding problems by producing long chains of thought.

## Co-authors here

12 of 25 co-authors with a page, the most papers together first.

- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) ×2
- [Andrea Zanette](https://md.research.elamur.ai/free/en/authors/andrea-zanette/)
- [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/)
- [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/)
- [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/)
- [Han Xiao](https://md.research.elamur.ai/free/en/authors/han-xiao/)
- [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/)
- [Hongzhang Liu](https://md.research.elamur.ai/free/en/authors/hongzhang-liu/)
- [Huan-ang Gao](https://md.research.elamur.ai/free/en/authors/huan-ang-gao/)
- [Jianhui Pang](https://md.research.elamur.ai/free/en/authors/jianhui-pang/)
- [Jiayi Geng](https://md.research.elamur.ai/free/en/authors/jiayi-geng/)
- [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/cited-by/).

Updated 3 November 2026
